# -*- coding: utf-8 -*-
# @Date   : 2020/3/12
# @File   : R15_IC_AccOvduCntLoansAndCreditAndQuasiTwentyFourMonsCheckOne_2D_CF2.py
# @Author : zhaochen
'''eof
name:申请人近2年内逾期天数大于30天的贷记卡的贷款逾期校验
code:R15_IC_AccOvduCntLoansAndCreditAndQuasiTwentyFourMonsCheckOne_2D_CF2
tableName:
columnName:
groups:个人征信校验
dependencies:IC_DSJ_2D
type:常用指标
datasourceType:在线指标
description:
eof'''

import sys
import re
import datetime
import pandas as pd
reload(sys)
sys.setdefaultencoding('utf-8')

null_type_list = ['', ' ', None, 'null', 'Null', 'NULL', '/', '-', '--']


def getTable(data, tableName, occurTimes):
    '''
        获取表信息
        :param data:表上层的字典对象
        :param tableName:表的名字
        :param occurTimes:表出现的次数，如果是0代表此表可以不出现，如果是1代表此表必须出现
        :return:该表全部数据
        '''
    table = data.get(tableName)
    if occurTimes == 0:
        if table is None:
            return [{}]
        elif table == "":
            return ""
        elif isinstance(table, list) is False or len(table) == 0:
            return None
        else:
            return data.get(tableName)
    if occurTimes == 1:
        if table == "":
            return ""
        elif table is None or isinstance(table, list) is False or len(table) == 0:
            return None
        else:
            return data.get(tableName)


def isfloat(x):
    '''
    判断x为float类型且大于等于0
    :param x:
    :return:
    '''
    try:
        if isinstance(float(x), float) and float(x)>=0:
            if str(x) in ['inf', 'infinity', 'INF', 'INFINITY', 'True']:
                return False
            else:
                return True
        else:
            return False
    except:
        return False

def checkNull(data, accountType):
    '''若最近24个月还款状态信息为空，返回结果为缺失值，则进行以下逻辑判断：
1.基本信息段（PD01A）-账户类型（PD01AD01）为D1，若最新表现信息段（PD01B）-账户状态（PD01BD01）为3（结清）且关闭日期（PD01BR01）＞5年或账户状态（PD01BD01）为5（转出）且转出月份（PD01BR04）＞5年，则Factor=1,否则Factor=缺失值；
2.基本信息段（PD01A）-账户类型（PD01AD01）为R1,R4，若最新表现信息段（PD01B）-账户状态（PD01BD01）为3（结清）且关闭日期（PD01BR01）＞5年，则Factor=1,否则Factor=缺失值；
3.基本信息段（PD01A）-账户类型（PD01AD01）为R2，R3，若最新表现信息段（PD01B）-账户状态（PD01BD01）为4(销户)且关闭日期（PD01BR01）＞5年或账户状态（PD01BD01）为6(未激活)，则Factor=1,否则Factor=缺失值；'''
    if data in null_type_list or data == [{}] or data == 0:
        return 0
    # 账户状态
    PD01BD01 = data[0].get("PD01BD01")
    # 关闭日期
    PD01BR01 = data[0].get("PD01BR01")
    PD01BR01 = dateFormat(PD01BR01)
    # 转出月份
    PD01BR04 = data[0].get("PD01BR04")
    PD01BR04 = dateFormat(PD01BR04)
    fiveYearsAgo = datetime.datetime.now() - pd.tseries.offsets.DateOffset(years=5)
    if accountType == "D1":
        if (PD01BD01 == "3" and PD01BR01 is not None and PD01BR01 < fiveYearsAgo)\
                or (PD01BD01 == "5" and PD01BR04 is not None and PD01BR04 < fiveYearsAgo):
            return 1
        else:
            return 0
    elif accountType in ["R1", "R4"]:
        if (PD01BD01 == "3" and PD01BR01 is not None and PD01BR01 < fiveYearsAgo):
            return 1
        else:
            return 0
    elif accountType in ["R2", "R3"]:
        if (PD01BD01 == "4" and PD01BR01 is not None and PD01BR01 < fiveYearsAgo) \
                or (PD01BD01 == "6"):
            return 1
        else:
            return 0
    else:
        return 0

def dateFormat(time):
    import re
    import datetime
    r = re.compile(r'\D+')
    try:
        date = datetime.datetime.strptime(time, '%Y.%m.%d')
    except:
        try:
            date = datetime.datetime.strptime(time, '%Y-%m-%d')
        except:
            try:
                date = datetime.datetime.strptime(time, '%Y/%m/%d')
            except:
                try:
                    tmp = r.sub('', time)
                    date = datetime.datetime.strptime(tmp, '%Y%m%d')
                except:
                    date = None
    return date

def R15_IC_AccOvduCntLoansAndCreditAndQuasiTwentyFourMonsCheckOne_2D_CF2():
    data = IC_DSJ_2D['data']
    factor = []
    # 借贷账户信息
    PDA = getTable(data, 'PDA', 1)
    if PDA is None:
        return u'缺失值'
    elif PDA == "":
        return 0
    else:
        # 借贷账户信息单元
        PD01 = getTable(PDA[0], 'PD01', 0)
        if PD01 is None or PD01 == "":
            return u'缺失值'
        elif PD01 == [{}]:
            return 0
        else:
            for i in PD01:
                try:
                    # 基本信息段
                    PD01A = getTable(i, 'PD01A', 1)
                    # 最近 24 个月还款记录信息段
                    PD01D = getTable(i, 'PD01D', 0)
                    # 最新表现信息段
                    PD01B = getTable(i, 'PD01B', 1)
                    # 最近5年内历史表现信息段
                    PD01E = getTable(i, 'PD01E', 0)
                    if PD01A is None or PD01A == "":
                        factor.append(None)
                    elif (PD01D is None or PD01D == "") and (PD01E is None or PD01E == ""):
                        factor.append(None)
                    else:
                        if PD01D is not None and PD01D != "" and PD01D != [{}]:
                            # 账户类型
                            PD01AD01 = PD01A[0].get('PD01AD01')
                            if PD01AD01 in null_type_list:
                                factor.append(None)
                            # D1(非循环贷账户),R1(循环贷账户),R2(贷记卡),R4(循环额度下分账户)
                            elif PD01AD01 in ['R2']:
                                if PD01D == [{}]:
                                    factor.append(0)
                                else:
                                    # 还款状态信息
                                    PD01DH = getTable(PD01D[0], 'PD01DH', 1)
                                    if PD01DH is None or PD01DH == "":
                                        factor.append(None)
                                    else:
                                        tmp = []
                                        for PD01DH_Itmes in PD01DH:
                                            # 还款状态
                                            PD01DD01 = PD01DH_Itmes.get('PD01DD01')
                                            if PD01DD01 in null_type_list:
                                                factor.append(None)
                                            else:
                                                if isfloat(PD01DD01) and float(PD01DD01) >=1 and float(PD01DD01) <=7 :
                                                    tmp.append(1)
                                                else:
                                                    tmp.append(0)
                                        factor.append(sum(tmp))
                            else:
                                factor.append(0)
                        else:
                            if PD01E is None or PD01E == "" or PD01B is None or PD01B == "":
                                factor.append(None)
                            else:
                                # 账户类型
                                PD01AD01 = PD01A[0].get('PD01AD01')
                                # 账户状态
                                PD01BD01 = PD01B[0].get('PD01BD01')

                                if PD01BD01 in null_type_list:
                                    endMonth = None
                                elif PD01BD01 not in ['1', '2']:
                                    endMonth = datetime.datetime.now().year * 12 + datetime.datetime.now().month
                                else:
                                    # 截止年月
                                    PD01ER02 = PD01E[0].get('PD01ER02')
                                    if PD01ER02 in null_type_list:
                                        endMonth = None
                                    else:
                                        endMonth = float(PD01ER02[:4]) * 12 + float(PD01ER02[5:])

                                if PD01AD01 in null_type_list or endMonth is None:
                                    factor.append(None)
                                # D1(非循环贷账户),R1(循环贷账户),R2(贷记卡),R4(循环额度下分账户)
                                elif PD01AD01 in ['R2']:
                                    if PD01E == [{}]:
                                        factor.append(0)
                                    else:
                                        # 历史表现信息
                                        PD01EH = getTable(PD01E[0], 'PD01EH', 1)
                                        if PD01EH is None or PD01EH == "":
                                            checkRes = checkNull(PD01B, PD01AD01)
                                            if checkRes:
                                                factor.append(0)
                                            else:
                                                factor.append(None)
                                        else:
                                            tmp = []
                                            for PD01EH_Itmes in PD01EH:
                                                # 还款状态
                                                PD01ED01 = PD01EH_Itmes.get('PD01ED01')
                                                # 月份
                                                PD01ER03 = PD01EH_Itmes.get('PD01ER03')
                                                if PD01ED01 in null_type_list or PD01ER03 in null_type_list:
                                                    factor.append(None)
                                                else:
                                                    PD01ER03_month = float(PD01ER03[:4]) * 12 + float(PD01ER03[5:])
                                                    if isfloat(PD01ED01) and float(PD01ED01) >=1 and float(PD01ED01) <=7 \
                                                            and PD01ER03_month > endMonth -24\
                                                            and PD01ER03_month <= endMonth:
                                                        tmp.append(1)
                                                    else:
                                                        tmp.append(0)
                                            factor.append(sum(tmp))
                                else:
                                    factor.append(0)
                except:
                    factor.append(None)
                    continue

    factorNotNone = filter(lambda x: x is not None, factor)
    if len(factorNotNone) == 0:
        return u'缺失值'
    else:
        return max(factorNotNone)


result = R15_IC_AccOvduCntLoansAndCreditAndQuasiTwentyFourMonsCheckOne_2D_CF2()